The Bhattacharyya space for feature selection and its application to texture segmentation

作者:

Highlights:

摘要

A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from the Bhattacharyya distances of different measurements extracted with sub-band filters from training samples. The marginal distributions of the Bhattacharyya space present a sequence of the most discriminant sub-bands that can be used as a path for a wrapper algorithm. When this feature selection is used with a multiresolution classification algorithm on a standard set of texture mosaics, it produces the lowest misclassification errors reported.

论文关键词:Feature selection,Bhattacharyya distance/space,Texture segmentation

论文评审过程:Received 1 August 2005, Revised 15 November 2005, Accepted 2 December 2005, Available online 3 February 2006.

论文官网地址:https://doi.org/10.1016/j.patcog.2005.12.003